Dataset statistics
| Number of variables | 7 |
|---|---|
| Number of observations | 785 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 24 |
| Duplicate rows (%) | 3.1% |
| Total size in memory | 65.2 KiB |
| Average record size in memory | 85.1 B |
Variable types
| Numeric | 6 |
|---|---|
| Categorical | 1 |
| Dataset has 24 (3.1%) duplicate rows | Duplicates |
dissimilarity is highly overall correlated with contrast and 4 other fields | High correlation |
contrast is highly overall correlated with dissimilarity and 3 other fields | High correlation |
homogeneity is highly overall correlated with dissimilarity and 4 other fields | High correlation |
energy is highly overall correlated with dissimilarity and 4 other fields | High correlation |
ASM is highly overall correlated with dissimilarity and 4 other fields | High correlation |
correlation is highly overall correlated with dissimilarity and 4 other fields | High correlation |
Label is highly overall correlated with homogeneity | High correlation |
Reproduction
| Analysis started | 2022-12-06 10:15:22.472101 |
|---|---|
| Analysis finished | 2022-12-06 10:15:32.027877 |
| Duration | 9.56 seconds |
| Software version | pandas-profiling vv3.5.0 |
| Download configuration | config.json |
dissimilarity
Real number (ℝ)
| Distinct | 758 |
|---|---|
| Distinct (%) | 96.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7.9239087 |
| Minimum | 0 |
|---|---|
| Maximum | 15.950192 |
| Zeros | 4 |
| Zeros (%) | 0.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 28.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 5.7314914 |
| Q1 | 7.2047457 |
| median | 8.0300059 |
| Q3 | 8.7627296 |
| 95-th percentile | 9.774329 |
| Maximum | 15.950192 |
| Range | 15.950192 |
| Interquartile range (IQR) | 1.5579839 |
Descriptive statistics
| Standard deviation | 1.4354195 |
|---|---|
| Coefficient of variation (CV) | 0.18115044 |
| Kurtosis | 6.6067881 |
| Mean | 7.9239087 |
| Median Absolute Deviation (MAD) | 0.7730954 |
| Skewness | -0.76042318 |
| Sum | 6220.2683 |
| Variance | 2.0604292 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 4 | 0.5% |
| 7.173842001 | 3 | 0.4% |
| 8.421013201 | 2 | 0.3% |
| 7.920502984 | 2 | 0.3% |
| 7.53088429 | 2 | 0.3% |
| 6.365173474 | 2 | 0.3% |
| 7.367756852 | 2 | 0.3% |
| 7.563079646 | 2 | 0.3% |
| 8.529314888 | 2 | 0.3% |
| 6.426393087 | 2 | 0.3% |
| Other values (748) | 762 |
| Value | Count | Frequency (%) |
| 0 | 4 | |
| 2.166937921 | 1 | 0.1% |
| 2.268103025 | 1 | 0.1% |
| 3.382113979 | 1 | 0.1% |
| 3.543374926 | 1 | 0.1% |
| 3.597793795 | 1 | 0.1% |
| 4.0614392 | 1 | 0.1% |
| 4.30058901 | 1 | 0.1% |
| 4.437572658 | 1 | 0.1% |
| 4.483989511 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 15.95019246 | 1 | |
| 15.54783125 | 1 | |
| 11.82802449 | 1 | |
| 11.70057351 | 1 | |
| 11.33971428 | 1 | |
| 11.12385363 | 1 | |
| 11.09790359 | 1 | |
| 11.02146142 | 1 | |
| 10.92645121 | 1 | |
| 10.89236353 | 1 |
contrast
Real number (ℝ)
| Distinct | 758 |
|---|---|
| Distinct (%) | 96.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 474.80716 |
| Minimum | 0 |
|---|---|
| Maximum | 1247.9789 |
| Zeros | 4 |
| Zeros (%) | 0.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 28.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 186.46742 |
| Q1 | 340.74456 |
| median | 461.86926 |
| Q3 | 587.07306 |
| 95-th percentile | 803.91829 |
| Maximum | 1247.9789 |
| Range | 1247.9789 |
| Interquartile range (IQR) | 246.32851 |
Descriptive statistics
| Standard deviation | 186.46566 |
|---|---|
| Coefficient of variation (CV) | 0.39271872 |
| Kurtosis | 0.45992295 |
| Mean | 474.80716 |
| Median Absolute Deviation (MAD) | 122.87535 |
| Skewness | 0.42567724 |
| Sum | 372723.62 |
| Variance | 34769.443 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 4 | 0.5% |
| 173.15457 | 3 | 0.4% |
| 386.3307758 | 2 | 0.3% |
| 716.8315443 | 2 | 0.3% |
| 319.9546875 | 2 | 0.3% |
| 578.9932057 | 2 | 0.3% |
| 295.6501976 | 2 | 0.3% |
| 364.1111434 | 2 | 0.3% |
| 436.7449366 | 2 | 0.3% |
| 318.1995208 | 2 | 0.3% |
| Other values (748) | 762 |
| Value | Count | Frequency (%) |
| 0 | 4 | |
| 31.51516443 | 1 | 0.1% |
| 50.64383606 | 1 | 0.1% |
| 51.48035341 | 1 | 0.1% |
| 91.46387145 | 1 | 0.1% |
| 96.84072825 | 1 | 0.1% |
| 109.4206903 | 1 | 0.1% |
| 112.7492185 | 1 | 0.1% |
| 122.7049653 | 1 | 0.1% |
| 125.1393216 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 1247.978855 | 1 | |
| 1044.508138 | 1 | |
| 1039.331602 | 1 | |
| 1022.113275 | 1 | |
| 1001.51685 | 1 | |
| 995.4271552 | 1 | |
| 994.7034604 | 1 | |
| 990.4930055 | 1 | |
| 989.733292 | 1 | |
| 985.7055013 | 1 |
homogeneity
Real number (ℝ)
| Distinct | 758 |
|---|---|
| Distinct (%) | 96.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.32926185 |
| Minimum | 0 |
|---|---|
| Maximum | 0.55062789 |
| Zeros | 4 |
| Zeros (%) | 0.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 28.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0.27512579 |
| Q1 | 0.30007522 |
| median | 0.31649205 |
| Q3 | 0.34444409 |
| 95-th percentile | 0.44951645 |
| Maximum | 0.55062789 |
| Range | 0.55062789 |
| Interquartile range (IQR) | 0.044368872 |
Descriptive statistics
| Standard deviation | 0.056425953 |
|---|---|
| Coefficient of variation (CV) | 0.17137106 |
| Kurtosis | 7.3543214 |
| Mean | 0.32926185 |
| Median Absolute Deviation (MAD) | 0.020369186 |
| Skewness | 0.31060125 |
| Sum | 258.47056 |
| Variance | 0.0031838882 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 4 | 0.5% |
| 0.2491941472 | 3 | 0.4% |
| 0.3209741237 | 2 | 0.3% |
| 0.3992840112 | 2 | 0.3% |
| 0.3185537618 | 2 | 0.3% |
| 0.5254654715 | 2 | 0.3% |
| 0.3186987383 | 2 | 0.3% |
| 0.3168260033 | 2 | 0.3% |
| 0.2994443101 | 2 | 0.3% |
| 0.3955498702 | 2 | 0.3% |
| Other values (748) | 762 |
| Value | Count | Frequency (%) |
| 0 | 4 | |
| 0.2133352985 | 1 | 0.1% |
| 0.2180936544 | 1 | 0.1% |
| 0.2452939561 | 1 | 0.1% |
| 0.2490866717 | 1 | 0.1% |
| 0.2491941472 | 3 | |
| 0.2526814058 | 1 | 0.1% |
| 0.2530573272 | 1 | 0.1% |
| 0.2531765926 | 1 | 0.1% |
| 0.2559761421 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 0.550627886 | 1 | |
| 0.5443551063 | 1 | |
| 0.5440113543 | 1 | |
| 0.5254654715 | 2 | |
| 0.5211341595 | 1 | |
| 0.517781856 | 1 | |
| 0.5139849153 | 1 | |
| 0.5109200297 | 1 | |
| 0.51046677 | 1 | |
| 0.5016485121 | 1 |
energy
Real number (ℝ)
| Distinct | 758 |
|---|---|
| Distinct (%) | 96.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.11218233 |
| Minimum | 0 |
|---|---|
| Maximum | 0.19780022 |
| Zeros | 4 |
| Zeros (%) | 0.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 28.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0.092597773 |
| Q1 | 0.10574237 |
| median | 0.11352701 |
| Q3 | 0.1196374 |
| 95-th percentile | 0.12997487 |
| Maximum | 0.19780022 |
| Range | 0.19780022 |
| Interquartile range (IQR) | 0.013895029 |
Descriptive statistics
| Standard deviation | 0.015565551 |
|---|---|
| Coefficient of variation (CV) | 0.13875225 |
| Kurtosis | 15.691394 |
| Mean | 0.11218233 |
| Median Absolute Deviation (MAD) | 0.0066885886 |
| Skewness | -1.1822805 |
| Sum | 88.063131 |
| Variance | 0.00024228637 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 4 | 0.5% |
| 0.06974391534 | 3 | 0.4% |
| 0.1208751608 | 2 | 0.3% |
| 0.1124587111 | 2 | 0.3% |
| 0.1222393615 | 2 | 0.3% |
| 0.1207371207 | 2 | 0.3% |
| 0.101911949 | 2 | 0.3% |
| 0.1213163643 | 2 | 0.3% |
| 0.09974837679 | 2 | 0.3% |
| 0.1170753861 | 2 | 0.3% |
| Other values (748) | 762 |
| Value | Count | Frequency (%) |
| 0 | 4 | |
| 0.06974391534 | 3 | |
| 0.07248878898 | 1 | 0.1% |
| 0.07694684682 | 1 | 0.1% |
| 0.07881743908 | 1 | 0.1% |
| 0.08211268138 | 1 | 0.1% |
| 0.08222390264 | 1 | 0.1% |
| 0.08910883864 | 1 | 0.1% |
| 0.08948773315 | 1 | 0.1% |
| 0.08964066853 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 0.1978002178 | 1 | |
| 0.1898747234 | 1 | |
| 0.184837922 | 1 | |
| 0.1707014153 | 1 | |
| 0.1648860816 | 1 | |
| 0.1647475409 | 1 | |
| 0.1625575716 | 1 | |
| 0.1610145276 | 1 | |
| 0.1584899859 | 1 | |
| 0.1559152029 | 1 |
ASM
Real number (ℝ)
| Distinct | 758 |
|---|---|
| Distinct (%) | 96.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.012826853 |
| Minimum | 0 |
|---|---|
| Maximum | 0.039124926 |
| Zeros | 4 |
| Zeros (%) | 0.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 28.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0.0085743491 |
| Q1 | 0.011181448 |
| median | 0.012888382 |
| Q3 | 0.014313106 |
| 95-th percentile | 0.016893539 |
| Maximum | 0.039124926 |
| Range | 0.039124926 |
| Interquartile range (IQR) | 0.0031316583 |
Descriptive statistics
| Standard deviation | 0.0033513892 |
|---|---|
| Coefficient of variation (CV) | 0.26127914 |
| Kurtosis | 12.161643 |
| Mean | 0.012826853 |
| Median Absolute Deviation (MAD) | 0.0015198402 |
| Skewness | 1.7738681 |
| Sum | 10.06908 |
| Variance | 1.123181 × 10-5 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 4 | 0.5% |
| 0.004864213727 | 3 | 0.4% |
| 0.01461080451 | 2 | 0.3% |
| 0.0126469617 | 2 | 0.3% |
| 0.01494246149 | 2 | 0.3% |
| 0.0145774523 | 2 | 0.3% |
| 0.01038604536 | 2 | 0.3% |
| 0.01471766025 | 2 | 0.3% |
| 0.009949738672 | 2 | 0.3% |
| 0.01370664602 | 2 | 0.3% |
| Other values (748) | 762 |
| Value | Count | Frequency (%) |
| 0 | 4 | |
| 0.004864213727 | 3 | |
| 0.005254624528 | 1 | 0.1% |
| 0.005920817236 | 1 | 0.1% |
| 0.006212188703 | 1 | 0.1% |
| 0.006742492444 | 1 | 0.1% |
| 0.006760770165 | 1 | 0.1% |
| 0.007940385124 | 1 | 0.1% |
| 0.008008054385 | 1 | 0.1% |
| 0.008035449454 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 0.03912492616 | 1 | |
| 0.03605241059 | 1 | |
| 0.0341650574 | 1 | |
| 0.0291389732 | 1 | |
| 0.0271874199 | 1 | |
| 0.02714175224 | 1 | |
| 0.0264249641 | 1 | |
| 0.02592567811 | 1 | |
| 0.02511907562 | 1 | |
| 0.0243095505 | 1 |
correlation
Real number (ℝ)
| Distinct | 758 |
|---|---|
| Distinct (%) | 96.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.89378731 |
| Minimum | 0 |
|---|---|
| Maximum | 0.98014047 |
| Zeros | 4 |
| Zeros (%) | 0.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 28.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0.85819364 |
| Q1 | 0.88538728 |
| median | 0.901378 |
| Q3 | 0.91308046 |
| 95-th percentile | 0.92967496 |
| Maximum | 0.98014047 |
| Range | 0.98014047 |
| Interquartile range (IQR) | 0.027693175 |
Descriptive statistics
| Standard deviation | 0.067711141 |
|---|---|
| Coefficient of variation (CV) | 0.075757555 |
| Kurtosis | 153.11835 |
| Mean | 0.89378731 |
| Median Absolute Deviation (MAD) | 0.013192236 |
| Skewness | -11.763434 |
| Sum | 701.62303 |
| Variance | 0.0045847986 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 4 | 0.5% |
| 0.9327378386 | 3 | 0.4% |
| 0.9103469797 | 2 | 0.3% |
| 0.9006620357 | 2 | 0.3% |
| 0.9129601956 | 2 | 0.3% |
| 0.8929623335 | 2 | 0.3% |
| 0.8714064423 | 2 | 0.3% |
| 0.9159487527 | 2 | 0.3% |
| 0.8367871068 | 2 | 0.3% |
| 0.9166136626 | 2 | 0.3% |
| Other values (748) | 762 |
| Value | Count | Frequency (%) |
| 0 | 4 | |
| 0.8072905861 | 1 | 0.1% |
| 0.8107247302 | 1 | 0.1% |
| 0.8202676524 | 1 | 0.1% |
| 0.8214569153 | 1 | 0.1% |
| 0.8239009581 | 1 | 0.1% |
| 0.8293722941 | 1 | 0.1% |
| 0.8323755886 | 1 | 0.1% |
| 0.8367871068 | 2 | |
| 0.8380641288 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 0.9801404681 | 1 | |
| 0.9726470757 | 1 | |
| 0.9648451243 | 1 | |
| 0.9517081469 | 1 | |
| 0.9487090682 | 1 | |
| 0.9472151019 | 1 | |
| 0.9432368566 | 1 | |
| 0.9413040682 | 1 | |
| 0.9393905008 | 1 | |
| 0.9383601088 | 1 |
Label
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 28.4 KiB |
| 0.0 | |
|---|---|
| 2.0 | |
| 1.0 | |
| 3.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 2355 |
|---|---|
| Distinct characters | 5 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0.0 |
|---|---|
| 2nd row | 1.0 |
| 3rd row | 0.0 |
| 4th row | 0.0 |
| 5th row | 2.0 |
Common Values
| Value | Count | Frequency (%) |
| 0.0 | 394 | |
| 2.0 | 131 | 16.7% |
| 1.0 | 130 | 16.6% |
| 3.0 | 130 | 16.6% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0.0 | 394 | |
| 2.0 | 131 | 16.7% |
| 1.0 | 130 | 16.6% |
| 3.0 | 130 | 16.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1179 | |
| . | 785 | |
| 2 | 131 | 5.6% |
| 1 | 130 | 5.5% |
| 3 | 130 | 5.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1570 | |
| Other Punctuation | 785 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1179 | |
| 2 | 131 | 8.3% |
| 1 | 130 | 8.3% |
| 3 | 130 | 8.3% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 785 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 2355 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1179 | |
| . | 785 | |
| 2 | 131 | 5.6% |
| 1 | 130 | 5.5% |
| 3 | 130 | 5.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2355 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1179 | |
| . | 785 | |
| 2 | 131 | 5.6% |
| 1 | 130 | 5.5% |
| 3 | 130 | 5.5% |
Auto
The auto setting is an interpretable pairwise column metric of the following mapping:- Variable_type-Variable_type : Method, Range
- Categorical-Categorical : Cramer's V, [0,1]
- Numerical-Categorical : Cramer's V, [0,1] (using a discretized numerical column)
- Numerical-Numerical : Spearman's ρ, [-1,1]
This configuration uses the recommended metric for each pair of columns.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
| dissimilarity | contrast | homogeneity | energy | ASM | correlation | Label | |
|---|---|---|---|---|---|---|---|
| 8 | 9.763750 | 601.122116 | 0.278376 | 0.099382 | 0.009877 | 0.885822 | 0.0 |
| 417 | 8.143442 | 552.234493 | 0.309190 | 0.098314 | 0.009666 | 0.868311 | 1.0 |
| 238 | 8.271145 | 525.090851 | 0.341498 | 0.162558 | 0.026425 | 0.858101 | 0.0 |
| 150 | 8.916525 | 605.120456 | 0.315809 | 0.110736 | 0.012262 | 0.892650 | 0.0 |
| 602 | 8.836776 | 371.524174 | 0.283134 | 0.121141 | 0.014675 | 0.914124 | 2.0 |
| 190 | 8.404615 | 462.670006 | 0.305170 | 0.115420 | 0.013322 | 0.914461 | 0.0 |
| 490 | 7.739550 | 426.001350 | 0.336677 | 0.099511 | 0.009902 | 0.891216 | 1.0 |
| 747 | 8.314785 | 616.965215 | 0.329957 | 0.111555 | 0.012444 | 0.909242 | 3.0 |
| 544 | 8.789448 | 636.620573 | 0.342518 | 0.143812 | 0.020682 | 0.894230 | 2.0 |
| 220 | 10.312440 | 652.764932 | 0.287585 | 0.146074 | 0.021338 | 0.895556 | 0.0 |
| dissimilarity | contrast | homogeneity | energy | ASM | correlation | Label | |
|---|---|---|---|---|---|---|---|
| 38 | 8.671381 | 563.153414 | 0.313215 | 0.110703 | 0.012255 | 0.893978 | 0.0 |
| 232 | 9.522023 | 562.880002 | 0.290262 | 0.110753 | 0.012266 | 0.897981 | 0.0 |
| 78 | 8.706890 | 493.081312 | 0.304355 | 0.116935 | 0.013674 | 0.891762 | 0.0 |
| 449 | 8.136461 | 1022.113275 | 0.461585 | 0.127129 | 0.016162 | 0.854286 | 1.0 |
| 418 | 7.169650 | 600.143494 | 0.398021 | 0.110949 | 0.012310 | 0.889037 | 1.0 |
| 166 | 7.740790 | 660.460791 | 0.379141 | 0.108245 | 0.011717 | 0.880321 | 0.0 |
| 182 | 8.630151 | 332.901018 | 0.276513 | 0.116643 | 0.013606 | 0.926642 | 0.0 |
| 667 | 6.372181 | 198.170587 | 0.330587 | 0.126382 | 0.015973 | 0.930258 | 3.0 |
| 567 | 9.063893 | 361.334360 | 0.270586 | 0.094926 | 0.009011 | 0.916446 | 2.0 |
| 466 | 7.189349 | 461.869255 | 0.353483 | 0.119483 | 0.014276 | 0.860302 | 1.0 |
Most frequently occurring
| dissimilarity | contrast | homogeneity | energy | ASM | correlation | Label | # duplicates | |
|---|---|---|---|---|---|---|---|---|
| 0 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.0 | 4 |
| 8 | 7.173842 | 173.154570 | 0.249194 | 0.069744 | 0.004864 | 0.932738 | 0.0 | 3 |
| 1 | 6.003810 | 213.489809 | 0.336504 | 0.099868 | 0.009974 | 0.916369 | 0.0 | 2 |
| 2 | 6.208472 | 272.355169 | 0.364036 | 0.125339 | 0.015710 | 0.919997 | 3.0 | 2 |
| 3 | 6.314178 | 174.167920 | 0.294795 | 0.090973 | 0.008276 | 0.931558 | 3.0 | 2 |
| 4 | 6.365173 | 578.993206 | 0.525465 | 0.120737 | 0.014577 | 0.892962 | 1.0 | 2 |
| 5 | 6.426393 | 318.199521 | 0.395550 | 0.117075 | 0.013707 | 0.916614 | 2.0 | 2 |
| 6 | 7.062337 | 579.224069 | 0.418078 | 0.112330 | 0.012618 | 0.893028 | 1.0 | 2 |
| 7 | 7.172234 | 338.406740 | 0.326358 | 0.122127 | 0.014915 | 0.924715 | 0.0 | 2 |
| 9 | 7.367757 | 295.650198 | 0.318699 | 0.101912 | 0.010386 | 0.871406 | 0.0 | 2 |